International Journal of Engineering Trends and Technology- Volume4Issue3- 2013
Combined RFID-Biometric based MIS for
student information
Miss. Prajakta Lokhande1, Miss. Dipali Kotkar2, Miss Pooja Nikam3
Department of Computer Engineering
Sir Visvesvaraya Institute Of Technology Chincholi, Nashik
Tal.Sinnar, Dist-Nasik, Maharashtra.
Abstract— RFID (Radio Frequency Identifier) and Biometric
now a days are one of the most popular technologies in use today.
This paper focuses on creating a MIS (Management Information
System) system of student using both RFID and biometric (facedetection) technology. With the increasing number of students
managing the attendance manually becomes a tedious and risky
job. With the evolution in technology we propose a system which
will take the attendance of s student, record it in the data base
along with the other information. The system will provide the
SMS alerts service which will give information about students
attendance, marks etc.
Keywords— RFID reader, RFID tag, Face-detection, MIS,
Haarcascade.
I.
INTRODUCTION
Most educational institutions administrators are concerned
about student irregular attendance; along with maintenance of
their academic record. Truancies can affect students overall
academic performance. The conventional methods of taking
the attendance (like by calling names or signing on paper),
handling the students data though on computers manually,
informing the parents about their wards performance (test
marks, attendance, etc.) through letters, informing the
companies about the students fulfilling their criteria by
manually short-listing the students, is very time consuming,
insecure and hence inefficient.
Thus, there is a need to bring about some changes in the
current technology to manage student information. The
objective of the paper is to provide a secure, easy & fast way
to calculate the attendance of student, informing the parents
about their ward, & short listing the students according to
companies’ requirements.
For this we are using combination of RFID and Biometric
technology of face detection to mark the attendance of
students. RFID is considered to be the most easy and fast way
of detecting the physical object like humans, products etc as it
has an ability to detect the objects using radio frequency. This
makes RFID most efficient, easy, secure, and safe hence more
advantageous with low overhead as compared to conventional
method.
But as [2] RFID can only help us to answer the question “who
I am?” but not “am I really the person who is entering?” i.e.
we cannot completely identify the person so, we are going to
use a combined RFID-Biometric system to take the
attendance. This attendance along with the academic report (if
any) will be send to parents through message; the application
will itself short-list the students according to the requirements
send by companies for campus recruitment.
II.
RELATED WORK
Various methods and techniques are being carried out so far
to improve the attendance taking system and maintaining the
records. This section describes some of them.
Zatin Singhal, Rajneesh Kumar Gujral [1]
Remote Monitoring of attendance system based
using GSM Network. In a test, it was found that
time, manpower, cost (printing and paper), and
attendance record procedures
describes
on RFID
it reduces
eases the
Noureddine Chikouche, Foudil Cherif, Mohamed
Benmohammed,”An Authentication protocol based on
Combined RFID-Biometric System,[2] which uses biometric
hash function and robust hash function, ultimately providing
the secrecy, authentication and privacy.
In the propose system author [3] uses figure prints
technology to successfully take attendance both during lecture
& examination by dividing process of identification in two
stages of enrollment and authentication. In enrollment figure
print registration is done and in authentication it will get
compare with figure stored in database.
This paper [6] describes a techniques used in an iris
recognition verifying system and wireless transmission. This
system possesses the functions of iris recognition. In Propose
system, Eye Scan sensor extracted minutiae from eye and it
will be matched with template which is stored in database.
System is designed and implemented using Daugman’s
algorithm. It can make attendance more easily and effectively.
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International Journal of Engineering Trends and Technology- Volume4Issue3- 2013
III.
SYSTEM DESIGN
The system design of the system can be clearly understood
from Fig1. As shown in the figure RFID reader and webcamera are connected to the server through RS232 and usb
cable respectively. Both reader and camera will take their
inputs (tag no and face image respectively) and compare it
with the data stored in the database of the server, if correct
match is found then appropriate action is taken.
of a RFID reader. Active tags are active in nature i.e. they do
not require any external source, they have their own in-built
battery. It can transmit high frequencies so it can be detectable
to a longer range.
Fig 3: RFID reader RS232
Fig 1: Structure of the system
A. Radio Frequency Identification
A system comprises hardware shown in Fig 2 known as
readers and tags. RFID tags are of two major types, which
include Active Tag and passive Tag.
Most RFID tags contain at least two parts: one is an
integrated circuit for storing and processing information,
modulating and demodulating a radio-frequency (RF) signal,
and other specialized functions; the other is an antenna for
receiving and transmitting the signal. RFID Reader is a system
which transmits and receives the data to the tag or key by
radio waves. Depending on mobility, RFID readers are
classified into two different types: fixed RFID and mobile
RFID. If the reader reads tags in a stationary position, it is
called fixed RFID.
These fixed readers are set up specific interrogation zones
and create a "bubble" of RF energy that can be tightly
controlled if the physics is well engineered. This allows a very
definitive reading area for when tags go in and out of the
interrogation zone. On the other hand, if the reader is mobile
when the reader reads tags, it is called mobile RFID. In our
system we are using RFID reader RS232, which Supports
EM410x Series Unique Tags works at industry-standard 125
KHZ Frequency. It’s Range up to 8-12cm.
B. Process of taking attendance:
Fig 2: RFID card and reader
RFID tags can be either passive, active or battery assisted
passive. Passive RFID does not use a battery; they transmit
low frequencies so they are detectable up to few meters of
distance while an active has an on-board battery that always
broadcasts or beacons its signal. A battery assisted passive has
a small battery on board that is activated when in the presence
System takes the attendance using the combination of both
the outputs of RFID and face detection. The same is shown
individually for better understanding:
1) RFID Attendance System: Following Fig.4 Gives
details about System. RFID Reader and Web camera
both are connected to Server. User or student Scan
RFID Tag on Reader At the same time image of
student will be captured by web camera. Both Reader
and Camera take their individual inputs and send to
server. Server extracts values from RFID reader and
web Camera and check values in database. If match
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International Journal of Engineering Trends and Technology- Volume4Issue3- 2013
will be found then it mark attendance and update
Database. The System uses internet message
Gateway system to send attendance report and class
test marks on mobile phone.
Fig 4: Block diagram of RFID attendance
2) Face Detection: Face detection technique used for
student authentication. Following fig.5 gives details
about face detection technique for student
authentication. Camera will capture image of student
then it send to server .server match this image with
template image which is stored in student database. If
match is valid then system performs action and
update database.
accuracy. This is then compared with the gray scale image
stored in the database. The flow can be understood from
figure 6.
Fig 6: Flow-chart of face detection
C. Database and Other Facilities:
Database consists of all the recorded data in different fields
like ID, Name, Mobile No., Address, Attendance, Result, etc.
Here, we are using My SQL as a database back end and .NET
C# as front end for the user. There is main login form
designed. The Login form contains labels, buttons, Textbox,
Drop down list. Attendance will be stored in the database
automatically through RFID face detection technology, rest of
fields like marks; address, etc will have to be field manually.
Test marks and attendance will be informed to
students/parents via message. The system will provide the
facility of short-listing the students according to company
requirement.
Following are the snapshots of some designed screens:
Fig 5: Block diagram for face detection
Fig 6: Login Window
The face detection is carried out with the help of Viola–
Jones object detection framework [7],[8].with the help of sum
pixel calculation, rectangular node selection is done for the
captured image. From this image haar features are calculated.
These features are then organized into cascade classifier also
called haarcascade to describe an object with sufficient
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References
[1]
[2]
[3]
Fig 7: Student Details
[4]
[5]
[6]
[7]
Fig 8: Result Details
IV. Conclusion
The system gives successful result to automatically
calculate the attendance of student without doing any manual
work. This proves to be lot of useful when attendance of large
number of student is to be taken. The system helps to manage
to student record, which in turns shortlist the student records
according to the requirement of company. The system turns
out to be lot of useful when there is large amount of data to be
handled which become quite difficult to be handled
mechanically. System reduces the overhead in the compilation
of attendance, the student/parent knows average attendance
and class test marks via SMS alert. Using RFID’s along with
biometric makes it easy to identify person correctly. They are
easy to use, and save lot of time.
[8]
Zatin Singhal, Rajneesh Kumar Gujral,” Anytime AnywhereRemote Monitoring of Attendance System based on RFID using
GSM Network”, International Journal of Computer Applications
(0975 – 8887) Volume 39– No.3, February 2012
Noureddine
Chikouche,
Foudil
Cherif,
Mohamed
Benmohammed,”An Authentication Protocol Based on Combined
RFID-Biometric System”, (IJACSA) International Journal of
Advanced Computer Science and Applications, Vol. 3, No.4, 2012
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Management System using Biometrics.” The Pacific Journal of
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Based on Minimum Facial Features “The 33rd Annual Conference
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MovieCharacter
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Seifedine Kadry, Mohamad Smaili,” Wireless attendance
management system based on iris recognition”, Scientific
Research and Essays Vol. 5(12), pp. 1428-1435, 18 June, 2010
Zhaomin zhu,Takashi Morimoto, Hidekazu Adachi,Osamu
Kiriyama, Tetsushi Koide and Hans Juergen Mattausch,”Multiview Face Detection and Recognition using Haar-like Features”
Paul Viola, Michael. J. Jones,” Robust Real-Time Face
Detection”, International Journal of Computer Vision 57(2), 137–
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Hence we can say that “Combined RFID-BIOMATRIC”
will act as an important tool in today’s fast paced and technosavvy world.
ACKNOWLEDGMENT
We would like to thank Prof .Sharad M Rokade, Head of
computer department/our guide, Sir Visvesvaraya Institute Of
Technology Chincholi, Nashik, for his valuable guidance and
moral support, without which this paper would not have been
possible.
We would also like to thank all other people who have worked
earlier on this similar topic as their work has helped us a lot.
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